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Numerical solution of the boundary value problems in calculus of variations using parametric cubic spline method
J. Info. Comput. Sci. , 8 (2013), pp. 275-282.
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@Article{JICS-8-275,
author = {M. Zarebnia and Z. Sarvari},
title = {Numerical solution of the boundary value problems in calculus of variations using parametric cubic spline method},
journal = {Journal of Information and Computing Science},
year = {2013},
volume = {8},
number = {4},
pages = {275--282},
abstract = { In this paper , a numerical solution based on parametric cubic spline is used for finding the
solution of boundary value problems arising in the calculus of variations . The present approach has less
computational coast and gives better approximation . This approximation reduce the problems to an explicit
system of algebraic equations . Some numerical examples are also given to illustrate the accuracy and
applicability of the presented method.
},
issn = {3080-180X},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22603.html}
}
TY - JOUR
T1 - Numerical solution of the boundary value problems in calculus of variations using parametric cubic spline method
AU - M. Zarebnia and Z. Sarvari
JO - Journal of Information and Computing Science
VL - 4
SP - 275
EP - 282
PY - 2013
DA - 2013/12
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22603.html
KW - Calculus of variation, Parametric spline, Numerical method.
AB - In this paper , a numerical solution based on parametric cubic spline is used for finding the
solution of boundary value problems arising in the calculus of variations . The present approach has less
computational coast and gives better approximation . This approximation reduce the problems to an explicit
system of algebraic equations . Some numerical examples are also given to illustrate the accuracy and
applicability of the presented method.
M. Zarebnia and Z. Sarvari. (2013). Numerical solution of the boundary value problems in calculus of variations using parametric cubic spline method.
Journal of Information and Computing Science. 8 (4).
275-282.
doi:
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